Shared micro-mobility services offer a sustainable alternative to cars for short trips in cities. However, there have been reports of safety concerns regarding the performance of the users of such services. This results in a negative public impression, especially for e-scooters, limits the adoption rate and incurs extra costs to compensate for such safety and security challenges. It is, therefore, imperative from the perspective of all stakeholders to develop new methods, including digital solutions, to improve the safety performance of the users of such modes. The first step is to quantify and monitor this safety, for example, by analyzing the accident statistics. However, there are practical challenges associated with the comprehensiveness and extent of available accident databases. Thus, alternative measures, such as monitoring near misses using different surrogate safety metrics, have gained popularity in recent years. Nevertheless, there is still a lack of consensus on how to define and extract such metrics in the first place, and use them to derive the overall safety performances, especially on route-level.

The main research question targeted in this study is how to assess the safety performance of an entire trip using a shared micromobility mode. This requires an extensive review of literature in the state of the art, discussions with experts from different backgrounds, and identifying future research scope to be able to address the research question.